Robotics

Genesis; San Carlos (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Genesis seeks an experienced robotics control engineer to design, implement, and optimize embedded control stacks for general-purpose robots. You will craft motion planning, real-time state estimation, and robust control pipelines, while building modular software frameworks that bridge simulation and hardware.

The role emphasizes deep expertise in dynamics, optimal control, and sensor integration, with a focus on production-grade C++ and end-to-end system delivery.

Qualifications

• Must have 8+ years of experience in control systems for real robotic products.
• Strong knowledge of dynamics, kinematics, and state estimation.
• Production-grade C++ for safety-critical software.

Responsibilities

• Design, implement, and optimize the embedded control stack for robots.
• Design motion planning and trajectory optimization for locomotion and manipulation.
• Build real-time state estimation pipelines fusing sensor data.
• Formulate and solve optimal control problems for high-performance behavior.
• Build modular software frameworks enabling rapid sim-to-hw iteration.
• Lead debugging, tuning, and validation of controllers on robots.

Skills

Control systems

Dynamics & kinematics

Optimal control

State estimation

C++ production-grade

Hardware interfaces

Sensing (IMUs, force/torque)

Robotics software integration

Deep learning / RL / vision-language‑A

GPU acceleration

Tools

GPU programming

Real-time systems

Job description

What You’ll Do

• Design, implement, and optimize the embedded control stack for general-purpose robots

• Design motion planning and trajectory optimization algorithms for dynamic locomotion and manipulation

• Build real-time state estimation pipelines for pose, contact, and force sensing, fusing heterogeneous sensor data under noise and uncertainty

• Formulate and solve optimal control problems (nonlinear MPC, convex optimization, trajectory optimization) for high-performance and stable behavior

• Build modular and robust software frameworks enabling rapid iteration between simulation and hardware

• Lead debugging, tuning, and validation of controllers directly on physical robots

What You’ll Bring

• Passion for your craft and demonstrated excellence in control systems engineering

• Extensive experience in designing, implementing, and deploying advanced control algorithms on real robotic system products (8+ years)

• Deep expertise in dynamics, kinematics, optimal control, and state estimation

• Strong command of hardware interfaces, sensors (IMUs, F/T sensors), and actuation technologies (motors, gearboxes, drivers)

• Production-level mastery of C++ with a track record of building reliable, safety-critical software

• Proven ability to bridge across hardware, software, and algorithms to deliver robust end-to-end systems

• An open mind about the power of deep learning, reinforcement learning, and vision-language-action models as critical for general-purpose robotics

• Bonus: Experience shipping humanoid robots or whole-body control systems

• Bonus: Impactful published work in control theory, state estimation, or mathematical optimization

• Bonus: Familiarity with parallel computation on GPUs to accelerate optimization